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Sensors for reduce reproductive wastage

This investment will utilise on-animal sensors, such as AWI Smart Tags, to monitor and evaluate reproductive events and performance. A machine learning approach will utilise accelerometer, proximity & GNSS data to identify mating events, conception date and sire identity. The acquired knowledge will support management options for ewes including segregation based on foetal age, diagnosis of ovulation and time for artificial insemination to maximise conception, and the potential to utilise AI without the need for hormone treatment.

Project date

1 Mar 2019-30 Jun 2022

Principal investigator

Simon de Graaf

Research organisations

The University of Sydney (USYD)

Project funded by

Multiple industries
Sheep & lamb Wool

Australian Wool Innovation (AWI)

Australian Wool Innovation is a not-for-profit enterprise that conducts research, development and marketing along the worldwide supply chain for Australian …
  • Location

    Australia

  • Organisation type

    Research funding body

Focus areas

Industries

Sustainabilities

Technology areas

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